[關(guān)鍵詞]
[摘要]
“數(shù)據(jù)科學(xué)”是關(guān)于數(shù)據(jù)的科學(xué),其宗旨為探索數(shù)據(jù)界奧秘的理論、方法和技術(shù)。鑒于中藥膜分離過程是一個非線性系統(tǒng),其工藝數(shù)據(jù)具有多變量、非線性、強噪聲、自變量相關(guān)、非正態(tài)分布、非均勻分布等全部或部分特征,“數(shù)據(jù)科學(xué)”已成為中藥膜過程復(fù)雜系統(tǒng)探索、技術(shù)創(chuàng)新的重要武器?!皵?shù)據(jù)科學(xué)”引入中藥膜科技領(lǐng)域的技術(shù)關(guān)鍵:(1)可精準(zhǔn)表征中藥膜過程傳質(zhì)的特征技術(shù)體系的建立;(2)“分子模擬”技術(shù)對膜傳質(zhì)過程的動態(tài)描述;(3)計算流體力學(xué)在膜領(lǐng)域的應(yīng)用;(4)強大、先進的數(shù)據(jù)處理技術(shù)。并以課題組多年開展的基于數(shù)據(jù)科學(xué)的中藥膜過程研究為實例進行闡述。
[Key word]
[Abstract]
Data science is a form of data-oriented science, which serves as a set of theories, methodologies and technologies for data exploration and analysis. Considering that membrane separation process for Chinese materia medica (CMM) manufacturing is a non-linear system, the data obtained regarding its process can be either multivariate, non-linear, strong noise, non-normally distributed, or non-evenly distributed. Due to the special features of data science, research has shed lights on its application in the scientific exploration and technological innovation in the complex membrane processes based on CMM system. There are a few key aspects of data science that are worth mentioning, making it competent as an analytical tool for CMM manufacturing integrated membrane processes. They can be recognized as the following, such as (1) the ability to precisely describe the mass transfer properties of CMM integrated membrane processes; (2) the dynamic description of membrane mass transfer process by molecular simulation; (3) the application of computational fluid dynamics simulation in membrane technology, and (4) the powerful and advanced data processing technology. This paper also reviewed some real case studies encountered by the authors during the investigation of membrane technology for CMM manufacturing based on data science.
[中圖分類號]
[基金項目]
國家自然科學(xué)基金項目(30572374);國家自然科學(xué)基金項目(30171161);國家自然科學(xué)基金項目(30873449);國家自然科學(xué)基金項目(81274096);國家科技部“十五”科技攻關(guān)計劃項目(2004BA721A42);國家科技部“十一五”科技支撐計劃項目(2006BAI09B07-03);2017中國工程院咨詢項目(2017-XZ-08);廣州市科技項目(201904010054)